In this paper, a nonconvex vector optimization problem with both inequality and equality
constraints is considered. The functions constituting it are not necessarily differentiable, but …

We present a novel on-line conservative learning framework for an object detection system.
All algorithms operate in an on-line mode, in particular we also present a novel on-line …

In this paper, in order to characterize optimality of a class of nonconvex differentiable
multiobjective programming problems, we introduce two new types of vector variational-like …

An important class of generalized convex sets and convex functions, called E-convex sets
and E-convex functions, have been introduced and studied by Youness and other …

In this article, we introduce the quasi strongly E-convex function and pseudo strongly E-
convex function on strongly E-convex set which generalizes strongly E-convex function …

In this paper, we introduced a new concept of generalized convexity for differentiable vector
optimization problems. Namely, the notion of exponentially E-convexity is defined as a …

In this work, we will study a class of the duality problem of E-convex programming. The weak
and strong theorems for the duality problem of E-convex programming are given to show the …

Under recent circulars on the notions of convexity for real sets and functions like E-convexity
and (E, F)-convexity, we expand the notions of (E, F) and semi-(E, F)-convexity to include …

In this paper, optimality conditions and duality for E-differentiable semi-infinite programming
with multiple interval-valued objective functions are investigated. We first establish Karush …

Multi-objective optimization and vector variational-like inequality are two important topics in
applied mathematics, and an interesting topic is to study their relationships under the …